Remote Talent Scientist - Entry Level

Higlobe, Inc.

United States

Remote

USD 50,000 - 70,000

Full time

41 hours ago
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Benefits offered by this job

Personal learning and development预算USD
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Travel opportunities to meet teams

Job summary

Canonical is seeking entry-level talent scientists to join a globally distributed team. You will learn how to implement hiring strategies, manipulate data with SQL and Python, and support evidence-based talent decisions in a remote, international setting.

Collaborating with senior stakeholders, you will contribute to projects that drive hiring outcomes, while developing skills in psychometrics, data analysis, and stakeholder management in a dynamic tech environment.

Qualifications

  • Undergraduate degree in psychology or related field.
  • Advanced analytical ability to dissect and analyse data using SQL; Python and/or statistics advantageous.
  • Exposure to talent through coursework, internship, or first job in a talent team.
  • Strong English communication and stakeholder interaction skills.

Responsibilities

  • Learn how to assess candidates using behavioural interview techniques.
  • Gain understanding of psychometrics in the workplace.
  • Support process and documentation improvements in hiring practices.
  • Contribute to analytics-driven projects to draw insights from data.
  • Build and maintain relationships with senior stakeholders to align on hiring targets.
  • Develop understanding of Canonical systems and platforms to support hiring questions.
  • Assist with ticket support and channel inquiries as processes are learned.

Skills

SQL
Python
Data analysis
Presentation skills
English communication

Education

Bachelor's degree in psychology or people-based subject

Job description

Canonical is seeking entry-level talent scientists to join a globally distributed team. You will learn how to implement hiring strategies, manipulate data with SQL and Python, and support evidence-based talent decisions in a remote, international setting.

Collaborating with senior stakeholders, you will contribute to projects that drive hiring outcomes, while developing skills in psychometrics, data analysis, and stakeholder management in a dynamic tech environment.

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